By building a three-tier Google Shopping structure that matched bids to customer intent, I helped a domestic appliances retailer grow from £3M to £20M over six years — achieving 17–22x ROAS and replacing their trade show dependency with a scalable online channel.
Get a Free Account AuditWhen I took over this account, the retailer was doing around £3M in revenue — but roughly half of it still came from trade shows. Their Google Shopping campaigns were live but underperforming. A previous agency had set them up with no real strategic framework: broad campaigns, poor structure, and budget being wasted on searches that never converted.
The product range was domestic appliances — washing machines, dishwashers, tumble dryers. The retailer had a genuine competitive advantage: very sharp pricing on exact model codes. Customers who knew the exact model they wanted were landing on competitor sites because the campaigns weren’t structured to capture them properly.
That was the opportunity. Build a campaign architecture that captures intent at every stage, and bid aggressively where conversion probability is highest.
Google Shopping doesn’t have keyword targeting in the traditional sense — you can’t just add negative keywords to split traffic the way you can in Search. The priority setting is the mechanism that makes segmentation possible.
When a search query matches products in multiple campaigns, Google runs an internal auction. It considers the campaign priority first, then the bid. By setting the generic campaign to HIGH priority with LOW bids, it catches broad traffic but doesn’t overspend on it. The model-code campaign is set to LOW priority — but because model codes are excluded from the higher-priority campaigns, they fall through to Tier 3, where the HIGH bids kick in.
The result is a self-sorting funnel. Budget flows automatically towards the searches most likely to convert. No manual sorting required once the structure is in place.
Beyond the campaign structure, customer experience played a measurable role in the account’s performance. The retailer had a strong review profile — genuinely good service, fast delivery, and products that matched descriptions.
Positive reviews reduced purchase hesitation for shoppers comparing this retailer against bigger names. They also improved Quality Scores over time, which lowered cost-per-click organically. Better CPC meant the same budget went further, which fed back into the ROAS figures.
This isn’t something you can manufacture. The campaigns amplified a business that was already doing the basics well — they weren’t papering over cracks.
In 2020 and 2021, when trade shows shut down overnight, this retailer was already predominantly online. Competitors who had relied on physical channels had no fallback. The campaign structure and product feed that had been built and refined over five years became a significant competitive moat — one that took years to build but proved its value the moment offline became impossible.
Over six years (2015–2021), the account delivered:
Revenue: £3M → £20M — a 6.7x increase over the period.
ROAS: 17–22x — sustained across the campaign’s lifetime, not a one-off peak.
Business model shift — from roughly 50% offline/trade show dependency to a predominantly online operation.
None of this happened because of one clever tactic. It compounded — better structure meant better data, better data meant smarter bidding, smarter bidding meant more budget could be justified, more budget meant more revenue. The priority funnel provided the architecture; the ongoing optimisation provided the momentum.
Google Shopping’s campaign priority setting (High, Medium, Low) controls which campaign gets preference when the same product appears in multiple campaigns. By pairing High priority with Low bids for generic searches, and Low priority with High bids for model-code searches, you create an intent-based funnel — broad traffic is captured cheaply, and high-intent traffic gets the budget it deserves.
This account sustained 17–22x ROAS over several years, but that reflects a mature, well-structured account with competitive pricing and strong reviews. New accounts or less competitive products will typically start lower. ROAS targets should be set based on your margins, not industry benchmarks.
Someone searching an exact model code — like a specific washing machine number — has already done their research and decided what they want. They’re comparison-shopping on price and availability. If your pricing is competitive, conversion rates on model-code searches are significantly higher than on generic category terms.
This account grew from £3M to £20M over six years. Meaningful results were visible within months, but compounding gains — where data improves decisions, which improves data — take time to accumulate. Expect to invest 6–12 months before judging the strategy’s ceiling.
Yes, but the complexity should match your scale. A business doing £500K/year in revenue doesn’t need the same granular campaign architecture as one doing £5M. Start with a two-tier structure (generic vs high-intent) and add layers as your data and budget justify it.
You don’t need one, but using a Comparison Shopping Service (CSS) partner instead of Google’s own Shopping tab can reduce CPCs by up to 20% on eligible placements. It’s worth evaluating once your campaigns are mature and performing — it compounds existing results rather than fixing a broken account.
If your Google Shopping campaigns are running but underperforming — or you're still relying on offline channels to carry the business — I can audit your account and show you exactly where the structure is letting you down. Google Ads management from £300/month.
Call 07410 907 104 Get a Free Account Audit